The Unsettling Future of AI Gig Work: Insights from My Experience with DoorDash's Tasks App

Introduction

With the rise of AI technologies, you might not immediately think of it in conjunction with gig work. However, that's exactly where I found myself—testing DoorDash's new Tasks app. Here, gig workers like me are tapped not just to deliver food but to train AI by filming mundane tasks. This revelation sparked a deeper concern: as technology evolves, what does that mean for human labor?

What is DoorDash's Tasks App?

DoorDash's Tasks app diverts from its primary function of food delivery to gather human-generated data for improving AI models. The concept is simple: users are compensated for recording videos of themselves performing various everyday activities that help machines understand the human experience better. As I began my journey to explore this app, I couldn't shake the feeling that I was at the forefront of a rather bleak future.

“Pay is shown upfront and determined based on effort and complexity of the activity,” reads DoorDash's press release.

A Closer Look at the Tasks

Available jobs within the Tasks app range from simple household chores to more complex handiwork projects. The spectrum is broad, with activities specified to elevate AI capabilities, including tasks as mundane as loading laundry or cooking eggs. Each task pays modestly, often offering a few dollars for several minutes of work.

The Experience of Filming

I recorded videos of myself doing laundry, scrambling eggs, and navigating a park—each accompanied by the pressure of ensuring my hands were always in frame. Perfection is critical; any deviation means the task could be void. I found myself wondering: is this really the future of work? The app provides a vivid illustration of how AI's need for data is becoming a vital component of employment for everyday citizens.

The Pay-Off

Despite successfully completing several tasks, my earnings averaged less than $10—a meager sum, especially considering the time invested. This leads us to a broader evaluation: are we doing meaningful work, or simply enriching corporations under the guise of innovation?

Implications of AI Training

The societal implications of tasks like these beg for further discussion. As companies like DoorDash look to expand this type of gig work, we must ask: who benefits from this model? In a world where capitalism thrives on efficiency, the human labor component risks becoming a mere cog in a larger technological machine.

Future Considerations

The tasks I participated in may seem insignificant now, but as the field of AI and robotics continues to grow exponentially, trends that emerge today could very well be the standard tomorrow. Do we want to normalize a workforce where individuals are undervalued, and their labor trivialized?

A Call to Action

As consumers and workers, we must remain vigilant. The deeper we delve into the gig economy motivated by technological advancement, the more we must question the ethics behind these emerging paradigms. Ultimately, I left my exchanges with the Tasks app with more questions than answers.

“If the robots are our new overlords one day, I hope they pay a bit more than that.”